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Reimagining Academic Integrity: An Experts’ Report on Trends, Tensions, and Transformation in the Age of AI

An Experts’ Report on Academic Integrity in the AI Era

The integration of AI into higher education has created a crisis of trust, as widespread AI adoption has outpaced institutional guidance. With 80% of faculty reporting inadequate clarity around AI policies, institutions increasingly rely on detection-based approaches, despite their documented limitations and bias.

There's a better path forward.

There's a better path forward. In this report, four leaders in educational technology and academic integrity challenge the detection-first approach and offer a transformative alternative. Through direct conversations, they reveal why the current system fails and what institutions must do instead:

  • Dr. Jeanne Beatrix Law, Professor of English & Coordinator, Graduate Certificate in AI Writing Technologies — Kennesaw State University
  • Maurie Beasley, M.Ed, Educational Leader & AI Advocate — K-12 systems
  • Dr. Frances Alvarado-Albertorio, Assistant Professor & Librarian — Oklahoma State University
  • Dr. Rebecca Bryant, Vice President for Strategic Engagement — Trinka; former Academic Dean, University of Illinois Urbana-Chaign

Report Highlights:

  • Why traditional detection falls short: widely cited studies show false positive rates that can exceed 60%, especially for multilingual writers.
  • How to reframe assessment: shifting from “Did you cheat?” to “Show your process” makes integrity a collaborative learning outcome.
  • How to build AI literacy: structured, low-stakes practice helps students develop judgment without weakening rigor.
  • What preserves authenticity: process-focused evaluation paired with transparent documentation acknowledges legitimate AI use.
  • What institutions can do: clear, consistent policies resolve contradictions between discouraging and embracing AI.

This isn't theory. These experts draw on decades of combined experience across K-12 and higher education. They offer practical frameworks that respect both academic standards and the reality of AI-integrated learning.

The future of academic integrity won't be built on suspicion and surveillance. It will be built on transparency, reflection, and shared responsibility with tools and policies that make the learning process visible without controlling it.

Ready to move beyond detection and build genuine integrity?
Access the complete report and explore practical strategies for your institution.